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Senior Data Engineer

2 weeks ago

Dehra Dūn, Uttarakhand, India Aays Full time ₹ 1,04,000 - ₹ 1,30,878 per year

Position: Sr. Data Engineer

Desired Experience: 6+ years

You will play a key role in collaborating with partners and senior client stakeholders to design and implement advanced big data and analytics solutions. Strong communication, organizational skills, and a problem-solving mindset are essential for this position.

What is in it for you:

·      Work alongside a world-class team of business consultants and engineers to solve complex business challenges using data and analytics.

·      Accelerate your career in a fast-paced, entrepreneurial work environment.

·      Receive an industry- leading remuneration package.

Desirable Skills:

·      Proficiency in any of the emerging Big Data technologies: Python, Spark, Hadoop, Clojure, Git, SQL, Databricks, and visualization tools like Tableau and Power BI.

·      Familiarity with cloud platforms, containerization, and microservice architectures will be a plus.

·      Hands-on experience in data modeling, query optimization, and complexity analysis will be preferred.

·      Understanding of agile methodologies (e.g., Scrum) and prior experience in agile work environments will be a plus.

·      Ability to collaborate with development teams and product owners to gather and interpret requirements.

·      Certifications in any of the above-mentioned will be a plus.

Your duties will include:

·      Develop data solutions in Big Data environments, particularly on Azure or other cloud platforms.

·      Work with diverse datasets to support Data Science and Analytics teams.

·      Design and build data architectures using tools such as Azure Data Factory, Databricks, Data Lake, and Synapse.

·      Collaborate with the CTO, Product Owners, and Operations teams to develop engineering roadmaps, including upgrades, technical refreshes, and new implementations.

·      Perform data mapping activities to define source data, target data, and the necessary transformations.

·      Support the Data Analytics team in creating KPIs and reports using tools like Power BI and Tableau.

·      Execute data integration, transformation, and modeling tasks.

·      Maintain comprehensive documentation and knowledge bases.

·      Research and recommend new database products, services, and protocols.

Essential Personal Traits:

·      You should be able to work independently and communicate effectively with remote teams.

·      Timely communication/escalation of issues/dependencies to higher management.

·      Curiosity to learn and apply emerging technologies to solve business problems

·      A strong willingness and eagerness to learn, adapt, and continuously improve by exploring new tools, technologies, and methodologies in the ever-evolving data engineering landscape.